Analysis of Public Transparency in Municipal People Management in the State of Rondônia, Brazil
Bibliographic record
Abstract
This article aims to investigate and present the current situation instituted by the municipalities of the State of Rondônia in the processes of transparency and accountability in people management. The scope of this study covered the research on whether the municipalities of the State, represented by the respective municipal governments, use institutional mechanisms to promote public transparency and to apply accountability in people management processes. The analysis was carried out in twenty municipalities previously selected using a quali-quantitative research instrument that encompasses four dimensions and eleven indicators designed to measure the extent to which these mechanisms are being applied. As a research method, the case study was used, being carried out an exploratory and descriptive research with a qualitative and quantitative approach. As a research source, bibliographic, documentary and field research were sought. The results showed that transparent information and accountability in people management is precarious, which compromises the participation and interaction of society in the monitoring and control of actions, indicating weakness in the monitoring and evaluation of accountability regarding the management of human resources of these institutions.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".